def createStupidAnimat(self, x, y):
f = open('neuro.net', 'r')
trained_net = pickle.load(f)
learner = ENAC()
learner._setLearningRate(0.03)
brain = BrainController(trained_net)
new_x = x + random.randint(-3, 3)
if new_x > 79:
new_x = 79
elif new_x < 0:
new_x = 0
new_y = y + random.randint(-3, 3)
if new_y > 79:
new_y = 79
elif new_y < 0:
new_y = 0
sa = StupidAnimat(new_x, new_y, brain, learner, self)
sa.brain.validate_net()
world = World(self)
task = InteractTask(world, sa)
self.stupid_animats.append(sa)
self.tasks.append(task)
import pickle
import time
# Create environment
sub_env = Environment(20, 20)
world = World(sub_env)
# Brain for the animat, we have already trained the data
f = open('neuro.net', 'r')
trained_net = pickle.load(f)
brain = BrainController(trained_net)
# Learning method we use
#learner = PolicyGradientLearner()
learner = ENAC()
learner._setLearningRate(0.2)
# Create an animat
animat = StupidAnimat(trained_net, learner, sub_env)
# Establish a task
task = InteractTask(world, animat)
brain.validate_net()
experiment = Experiment(task, animat)
while True:
experiment.doInteractions(10000)
animat.learn()
animat.reset()
brain.validate_net()
time.sleep(3)
